Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.
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Background for this topic.
Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.
AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.
OpenAI is reportedly mulling a new form of ads on ChatGPT called "sponsored content," which could influence your buying decisions. [...]
OpenAI has quietly rolled out 'formatting blocks,' which tweak GPT's layout to match the UI of the task it is supposed to execute. [...]
OpenAI is testing a new ChatGPT feature called "Skills," which will be similar to Claude's feature, also called Skills. [...]
A malicious package in the Node Package Manager (NPM) registry poses as a legitimate WhatsApp Web API library to steal WhatsApp messages, collect contacts, and gain access to the account. [...]